The goal is to ensure quality for a period of time after you buy it. That can be several days to several weeks, depending on the item. For instance, milk, assuming proper refrigeration, should last five to seven days past its sell-by date before turning sour.
An autoencoder is a neural network that is trained in an unsupervised fashion. The goal of an autoencoder is to find a more compact representation of the data by learning an encoder, which transforms the data to their corresponding compact representation, and a decoder, which reconstructs the original data.
2.1 Auto-Encoder We recall the basic principles of auto-encoder models, e.g., [2]. An auto-encoder takesaninputx âRd andï¬rstmapsittothelatentrepresentationh âRd using a deterministic function of the type h = fÎ¸ = Ï(Wx+b) with parameters Î¸ = {W,b}. This âcodeâ is then used to reconstruct the input by a reverse mapping